A linguistic modeling of consensus in group decision making based on OWA operators

Author

Bordogna, Gloria ; Fedrizzi, Mario ; Pasi, Gabriella

Author_Institution

Istituto per le Tecnologie Inf. Multimediali, CNR, Milano, Italy

Volume

27

Issue

1

fYear

1997

fDate

1/1/1997 12:00:00 AM

Firstpage

126

Lastpage

133

Abstract

In this paper, a model for group decision-making is proposed and defined in a linguistic context. A multiperson multicriteria decision problem is considered, in which a group of experts is involved in the evaluation of the performances of a set of alternatives with respect to a predefined set of criteria. The objective is to evaluate a consensual judgement and a consensus degree on each alternative. Both the experts´ evaluations of the alternatives and the degree of consensus are expressed linguistically. A “soft” consensus degree referred to a fuzzy majority of the experts is proposed based on the concept of linguistic quantifier. The entire process is defined in a linguistic domain and modeled within fuzzy set theory by ordered weighted average (OWA) operators

Keywords

decision theory; fuzzy set theory; OWA operators; consensual judgement; fuzzy majority; fuzzy set theory; group decision-making; linguistic modeling; linguistic quantifier; multiperson multicriteria decision problem; ordered weighted average operators; soft consensus degree; Artificial intelligence; Decision making; Flexible manufacturing systems; Intelligent manufacturing systems; Job shop scheduling; Manufacturing automation; Object oriented modeling; Open wireless architecture; Production; Virtual manufacturing;

fLanguage

English

Journal_Title

Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on

Publisher

ieee

ISSN

1083-4427

Type

jour

DOI

10.1109/3468.553232

Filename

553232